class_docstr: The method class for G-SphereNet algorithm proposed in the paper `An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch <https://openreview.net/forum?id=C03Ajc-NS5W>`_. 
  This class provides interfaces for running training and generation with G-SphereNet algorithm. 
  Please refer to the `example codes <https://github.com/divelab/DIG/tree/dig-stable/examples/ggraph3D/G_SphereNet>`_ for usage examples.
code: def load_pretrain_model(self, path):
      self.model.load_state_dict(torch.load(path))
  
file_path: DIG/dig/ggraph3D/method/G_SphereNet/gspherenet.py
imports: import os
  import torch
  import numpy
  from .model import SphGen
label_desc: Use image node_id 3 for calling the G_SphereNet obj's underlying member method code with example usage: obj.load_pretrain_model(path) without return types